Creation of realistic synthetic faces and bodies to complete product or editorial imagery, replacing cropped or missing elements. This approach ensures stylistic consistency, enables full-body compositions, and simplifies image rights management at scale.

Visual tailoring of e-commerce or campaign content to align with local markets — from model ethnicity and demographics to environments, styling, and color palettes. A scalable way to make visuals more relevant, inclusive, and market-ready.

Automated replacement of a product within an existing scene, while preserving perspective, lighting, and visual coherence. This allows for updating or expanding content by changing only the core item — such as a new colorway, model variation, or accessory — without redoing the entire shoot.

AI-assisted generation of alternative body poses from a single scene, preserving proportions, perspective, and natural realism. This enables multiple variations from a single shoot — expanding creative flexibility and reducing the need for costly reshoots.

Creation of short, seamless looping animations — from subtle camera moves to floating elements and dynamic lighting — starting from static images. These micro-loops turn product visuals into engaging video assets, perfect for social media, e-commerce, or digital advertising.

Outfits, looks, models and props become consistent and synthetically reproducible by training custom models on existing product imagery. This makes it possible to generate new images or variants that match the original shoot’s lighting, background, and visual tone — ideal for virtual lookbooks, e-commerce, or campaign extensions.

Scenes, moods, and environments can be generated around a product or model to simulate full-scale sets without location shoots. By defining a visual narrative — natural, urban, conceptual — AI can produce consistent backgrounds that frame the content with realism or intention, unlocking creative direction at a fraction of the usual production effort.